code: def forward(
      self, x: torch.Tensor, t: torch.Tensor, c: dict, **kwargs
  ) -> torch.Tensor:
      x = torch.cat(
          (x, c.get("concat", torch.Tensor([]).type_as(x))), dim=1
      )
      return self.diffusion_model(
          x,
          timesteps=t,
          context=c.get("crossattn", None),
          y=c.get("vector", None),
          **kwargs,
      )
  
file_path: generative-models/sgm/modules/diffusionmodules/wrappers.py
imports: import torch
  import torch.nn
  from packaging import version
label_desc: Use image node_id 1 for calling the OpenAIWrapper obj's underlying member method code with example usage: obj.forward(x, t, c) and returns: self